In order to smooth the matching results and fill-in the missing matches, we apply an adaptive smoothing procedure as suggested by Halperin et al. [1]}. The procedure employs a Laplacian filter with a parameter \(\sigma \)  and a smoothness criterion. It searches for the lowest \(\sigma \)  such that the criterion is met. This is done with one such parameter for the entire video sequence. Predictions that are shorter than the audio stream are padded with the last visual predicted frame.
